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Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
時間 2020-12-30
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LeCun經典論文,現在才分析,罪過罪過 摘:本文其實通過卷積神經網絡得到一個立體匹配成本stereo matching cost,而後面則是一系列的後處理:cross-based cost aggregation, semiglobal matching, a left-right consistency check, subpixel enhancement,a median filter,
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Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches 譯文
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相關文章
1.
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches 譯文
2.
論文學習——Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
3.
【翻譯學習筆記】Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
4.
Learning to Compare Image Patches via Convolutional Neural Networks
5.
Computing the Stereo Matching Cost with a Convolutional Neural Network
6.
論文學習:Learning to Compare Image Patches via Convolutional Neural Networks
7.
【翻譯】Computing the Stereo Matching Cost with a Convolutional Neural Network
8.
論文閱讀《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》
9.
Convolutional Neural Network - Object Detection
10.
Stereoscopic image quality assessment by deep convolutional neural network
>>更多相關文章<<